Overview

Dataset statistics

Number of variables25
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory236.9 B

Variable types

Numeric25

Alerts

water_supply is highly overall correlated with Average_Temp and 2 other fieldsHigh correlation
Total_Population is highly overall correlated with Male_Population and 2 other fieldsHigh correlation
Households is highly overall correlated with Population_per_Households and 12 other fieldsHigh correlation
Population_per_Households is highly overall correlated with Households and 12 other fieldsHigh correlation
Male_Population is highly overall correlated with Total_Population and 11 other fieldsHigh correlation
Female_Population is highly overall correlated with Total_Population and 4 other fieldsHigh correlation
Male_Female_Ratio is highly overall correlated with Households and 11 other fieldsHigh correlation
Population_aging_Ratio is highly overall correlated with Households and 10 other fieldsHigh correlation
Power_usage is highly overall correlated with Female_Population and 3 other fieldsHigh correlation
Num_of_Business is highly overall correlated with Households and 10 other fieldsHigh correlation
Business_above_100 is highly overall correlated with Total_Population and 8 other fieldsHigh correlation
complex_area is highly overall correlated with Households and 10 other fieldsHigh correlation
annual_household_income is highly overall correlated with Households and 12 other fieldsHigh correlation
High_School_Graduate_num is highly overall correlated with Female_Population and 6 other fieldsHigh correlation
High_School_Graduate_ratio is highly overall correlated with Households and 6 other fieldsHigh correlation
personal_expense is highly overall correlated with Households and 11 other fieldsHigh correlation
benefits_vs_personal_expense is highly overall correlated with Households and 10 other fieldsHigh correlation
employment_ratio is highly overall correlated with Households and 5 other fieldsHigh correlation
employment_insurance_ratio is highly overall correlated with Female_Population and 4 other fieldsHigh correlation
Average_Temp is highly overall correlated with water_supply and 5 other fieldsHigh correlation
Monthly_Rainfall is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Average_Relative_Humadity is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Ground_Temp is highly overall correlated with water_supply and 4 other fieldsHigh correlation
Average_Wind is highly overall correlated with Households and 3 other fieldsHigh correlation
Average_Pressure is highly overall correlated with water_supply and 4 other fieldsHigh correlation
water_supply has unique valuesUnique
Population_per_Households has unique valuesUnique
Male_Female_Ratio has unique valuesUnique
Power_usage has unique valuesUnique
employment_insurance_ratio has unique valuesUnique

Reproduction

Analysis started2023-08-30 08:48:24.921212
Analysis finished2023-08-30 08:49:09.891093
Duration44.97 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

water_supply
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272328.62
Minimum220593.46
Maximum308131.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:09.941778image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum220593.46
5-th percentile245875.5
Q1262704.94
median272738.48
Q3283679.7
95-th percentile297414.6
Maximum308131.74
Range87538.278
Interquartile range (IQR)20974.762

Descriptive statistics

Standard deviation16696.863
Coefficient of variation (CV)0.061311454
Kurtosis0.12575198
Mean272328.62
Median Absolute Deviation (MAD)10694.435
Skewness-0.38422911
Sum39215321
Variance2.7878525 × 108
MonotonicityNot monotonic
2023-08-30T17:49:10.019984image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
229099.9355 1
 
0.7%
220593.4643 1
 
0.7%
280743.0667 1
 
0.7%
270426.0645 1
 
0.7%
247929.3333 1
 
0.7%
252188.0645 1
 
0.7%
266580.3871 1
 
0.7%
276267.1429 1
 
0.7%
262283.7742 1
 
0.7%
271840.9333 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
220593.4643 1
0.7%
229099.9355 1
0.7%
229384.3871 1
0.7%
234905.5667 1
0.7%
237720.1 1
0.7%
239681.8065 1
0.7%
240189.5333 1
0.7%
245513.0645 1
0.7%
247929.3333 1
0.7%
248200.9355 1
0.7%
ValueCountFrequency (%)
308131.7419 1
0.7%
302196.9333 1
0.7%
302092.6452 1
0.7%
300086.4516 1
0.7%
299864.5 1
0.7%
299114.3226 1
0.7%
298952.3548 1
0.7%
297418.0333 1
0.7%
297395.1613 1
0.7%
297106.5484 1
0.7%

Total_Population
Real number (ℝ)

Distinct142
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150936.62
Minimum143397
Maximum156750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:10.093947image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum143397
5-th percentile144312.65
Q1150722.5
median151634
Q3152296.75
95-th percentile153561.35
Maximum156750
Range13353
Interquartile range (IQR)1574.25

Descriptive statistics

Standard deviation2653.4672
Coefficient of variation (CV)0.017580009
Kurtosis1.7824311
Mean150936.62
Median Absolute Deviation (MAD)747
Skewness-1.3569134
Sum21734873
Variance7040887.9
MonotonicityNot monotonic
2023-08-30T17:49:10.172354image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
151201 2
 
1.4%
152104 2
 
1.4%
143563 1
 
0.7%
152888 1
 
0.7%
152364 1
 
0.7%
152741 1
 
0.7%
155857 1
 
0.7%
154028 1
 
0.7%
153346 1
 
0.7%
152954 1
 
0.7%
Other values (132) 132
91.7%
ValueCountFrequency (%)
143397 1
0.7%
143563 1
0.7%
143593 1
0.7%
143723 1
0.7%
143982 1
0.7%
144178 1
0.7%
144224 1
0.7%
144299 1
0.7%
144390 1
0.7%
145010 1
0.7%
ValueCountFrequency (%)
156750 1
0.7%
156564 1
0.7%
155857 1
0.7%
155580 1
0.7%
154164 1
0.7%
154028 1
0.7%
153879 1
0.7%
153587 1
0.7%
153416 1
0.7%
153357 1
0.7%

Households
Real number (ℝ)

Distinct143
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59836.292
Minimum51918
Maximum67103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:10.250383image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum51918
5-th percentile52505.35
Q157132.5
median59678.5
Q363300
95-th percentile65960
Maximum67103
Range15185
Interquartile range (IQR)6167.5

Descriptive statistics

Standard deviation4046.4538
Coefficient of variation (CV)0.06762541
Kurtosis-0.84299967
Mean59836.292
Median Absolute Deviation (MAD)2851.5
Skewness-0.12504932
Sum8616426
Variance16373788
MonotonicityNot monotonic
2023-08-30T17:49:10.325609image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56937 2
 
1.4%
51918 1
 
0.7%
62495 1
 
0.7%
61521 1
 
0.7%
61790 1
 
0.7%
62790 1
 
0.7%
62466 1
 
0.7%
62386 1
 
0.7%
62423 1
 
0.7%
62547 1
 
0.7%
Other values (133) 133
92.4%
ValueCountFrequency (%)
51918 1
0.7%
51935 1
0.7%
52054 1
0.7%
52198 1
0.7%
52268 1
0.7%
52355 1
0.7%
52388 1
0.7%
52498 1
0.7%
52547 1
0.7%
53114 1
0.7%
ValueCountFrequency (%)
67103 1
0.7%
66970 1
0.7%
66575 1
0.7%
66311 1
0.7%
66252 1
0.7%
66187 1
0.7%
66069 1
0.7%
65978 1
0.7%
65858 1
0.7%
65775 1
0.7%

Population_per_Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5319767
Minimum2.2432827
Maximum2.7651874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:10.403433image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2.2432827
5-th percentile2.2842059
Q12.4232946
median2.5673871
Q32.6421885
95-th percentile2.7485324
Maximum2.7651874
Range0.5219047
Interquartile range (IQR)0.21889393

Descriptive statistics

Standard deviation0.14327027
Coefficient of variation (CV)0.056584357
Kurtosis-0.96513537
Mean2.5319767
Median Absolute Deviation (MAD)0.1011497
Skewness-0.31821444
Sum364.60464
Variance0.020526371
MonotonicityNot monotonic
2023-08-30T17:49:10.480451image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.765187411 1
 
0.7%
2.761085973 1
 
0.7%
2.479832603 1
 
0.7%
2.47661774 1
 
0.7%
2.471937207 1
 
0.7%
2.482194617 1
 
0.7%
2.465789389 1
 
0.7%
2.458019427 1
 
0.7%
2.450282748 1
 
0.7%
2.446403712 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
2.243282715 1
0.7%
2.247170375 1
0.7%
2.25541119 1
0.7%
2.263892868 1
0.7%
2.273787961 1
0.7%
2.276867058 1
0.7%
2.279298915 1
0.7%
2.283488436 1
0.7%
2.288271736 1
0.7%
2.292345116 1
0.7%
ValueCountFrequency (%)
2.765187411 1
0.7%
2.761085973 1
0.7%
2.758539209 1
0.7%
2.75468738 1
0.7%
2.7538535 1
0.7%
2.753419671 1
0.7%
2.75299687 1
0.7%
2.748657092 1
0.7%
2.747825756 1
0.7%
2.730165305 1
0.7%

Male_Population
Real number (ℝ)

Distinct140
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77889.368
Minimum73639
Maximum81365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:10.579208image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum73639
5-th percentile74083.4
Q177793.75
median78181
Q378688.5
95-th percentile79426.85
Maximum81365
Range7726
Interquartile range (IQR)894.75

Descriptive statistics

Standard deviation1505.0119
Coefficient of variation (CV)0.01932243
Kurtosis1.8271497
Mean77889.368
Median Absolute Deviation (MAD)451.5
Skewness-1.4039112
Sum11216069
Variance2265060.8
MonotonicityNot monotonic
2023-08-30T17:49:10.682597image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78687 2
 
1.4%
78550 2
 
1.4%
78647 2
 
1.4%
78670 2
 
1.4%
78328 1
 
0.7%
78256 1
 
0.7%
78802 1
 
0.7%
78840 1
 
0.7%
78966 1
 
0.7%
78998 1
 
0.7%
Other values (130) 130
90.3%
ValueCountFrequency (%)
73639 1
0.7%
73673 1
0.7%
73686 1
0.7%
73776 1
0.7%
73917 1
0.7%
74027 1
0.7%
74069 1
0.7%
74075 1
0.7%
74131 1
0.7%
74448 1
0.7%
ValueCountFrequency (%)
81365 1
0.7%
80972 1
0.7%
80301 1
0.7%
80012 1
0.7%
79710 1
0.7%
79681 1
0.7%
79493 1
0.7%
79442 1
0.7%
79341 1
0.7%
79263 1
0.7%

Female_Population
Real number (ℝ)

Distinct140
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73047.25
Minimum69758
Maximum75592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:10.789536image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum69758
5-th percentile70229.25
Q172366.5
median73358
Q373951.75
95-th percentile74520.15
Maximum75592
Range5834
Interquartile range (IQR)1585.25

Descriptive statistics

Standard deviation1275.3953
Coefficient of variation (CV)0.017459868
Kurtosis0.33512544
Mean73047.25
Median Absolute Deviation (MAD)620.5
Skewness-0.86623783
Sum10518804
Variance1626633.3
MonotonicityNot monotonic
2023-08-30T17:49:10.887409image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73184 2
 
1.4%
72074 2
 
1.4%
73975 2
 
1.4%
73684 2
 
1.4%
69890 1
 
0.7%
73947 1
 
0.7%
74014 1
 
0.7%
75556 1
 
0.7%
74535 1
 
0.7%
74163 1
 
0.7%
Other values (130) 130
90.3%
ValueCountFrequency (%)
69758 1
0.7%
69890 1
0.7%
69907 1
0.7%
69947 1
0.7%
70065 1
0.7%
70151 1
0.7%
70155 1
0.7%
70224 1
0.7%
70259 1
0.7%
70562 1
0.7%
ValueCountFrequency (%)
75592 1
0.7%
75568 1
0.7%
75556 1
0.7%
75385 1
0.7%
74823 1
0.7%
74772 1
0.7%
74619 1
0.7%
74535 1
0.7%
74436 1
0.7%
74232 1
0.7%

Male_Female_Ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0663156
Minimum1.0533377
Maximum1.0939905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:10.996344image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.0533377
5-th percentile1.0548596
Q11.0568352
median1.0622045
Q31.0731529
95-th percentile1.09161
Maximum1.0939905
Range0.040652798
Interquartile range (IQR)0.016317788

Descriptive statistics

Standard deviation0.011994458
Coefficient of variation (CV)0.011248506
Kurtosis-0.10047855
Mean1.0663156
Median Absolute Deviation (MAD)0.0062451633
Skewness1.0957194
Sum153.54945
Variance0.00014386702
MonotonicityNot monotonic
2023-08-30T17:49:11.103475image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.054127915 1
 
0.7%
1.055635196 1
 
0.7%
1.062139472 1
 
0.7%
1.062708147 1
 
0.7%
1.063677142 1
 
0.7%
1.062801101 1
 
0.7%
1.066519085 1
 
0.7%
1.06768874 1
 
0.7%
1.068427387 1
 
0.7%
1.069129788 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
1.053337657 1
0.7%
1.053531599 1
0.7%
1.054057534 1
0.7%
1.054071043 1
0.7%
1.054127915 1
0.7%
1.054183127 1
0.7%
1.054741447 1
0.7%
1.054838802 1
0.7%
1.054977521 1
0.7%
1.055072135 1
0.7%
ValueCountFrequency (%)
1.093990455 1
0.7%
1.093470551 1
0.7%
1.093292997 1
0.7%
1.093095563 1
0.7%
1.092867261 1
0.7%
1.092380132 1
0.7%
1.091832199 1
0.7%
1.091657527 1
0.7%
1.091340829 1
0.7%
1.090987255 1
0.7%

Population_aging_Ratio
Real number (ℝ)

Distinct46
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.947917
Minimum9.3
Maximum13.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:11.796853image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum9.3
5-th percentile9.3
Q19.675
median10.7
Q311.8
95-th percentile13.585
Maximum13.9
Range4.6
Interquartile range (IQR)2.125

Descriptive statistics

Standard deviation1.3966478
Coefficient of variation (CV)0.12757201
Kurtosis-0.83600419
Mean10.947917
Median Absolute Deviation (MAD)1.1
Skewness0.56093932
Sum1576.5
Variance1.950625
MonotonicityNot monotonic
2023-08-30T17:49:11.873665image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
9.4 15
 
10.4%
9.3 13
 
9.0%
9.9 5
 
3.5%
11.8 5
 
3.5%
11 5
 
3.5%
10.9 4
 
2.8%
9.5 4
 
2.8%
9.6 4
 
2.8%
9.7 4
 
2.8%
10 4
 
2.8%
Other values (36) 81
56.2%
ValueCountFrequency (%)
9.3 13
9.0%
9.4 15
10.4%
9.5 4
 
2.8%
9.6 4
 
2.8%
9.7 4
 
2.8%
9.8 3
 
2.1%
9.9 5
 
3.5%
10 4
 
2.8%
10.1 2
 
1.4%
10.2 3
 
2.1%
ValueCountFrequency (%)
13.9 3
2.1%
13.8 1
 
0.7%
13.7 2
1.4%
13.6 2
1.4%
13.5 2
1.4%
13.4 2
1.4%
13.3 2
1.4%
13.2 2
1.4%
13.1 1
 
0.7%
13 1
 
0.7%

Power_usage
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3492044 × 108
Minimum1.9148793 × 108
Maximum8.8920333 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:11.954471image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.9148793 × 108
5-th percentile2.7529987 × 108
Q13.5899059 × 108
median4.4320099 × 108
Q34.9758757 × 108
95-th percentile6.0951924 × 108
Maximum8.8920333 × 108
Range6.977154 × 108
Interquartile range (IQR)1.3859698 × 108

Descriptive statistics

Standard deviation1.0784202 × 108
Coefficient of variation (CV)0.24795803
Kurtosis1.2807432
Mean4.3492044 × 108
Median Absolute Deviation (MAD)69865081
Skewness0.50213417
Sum6.2628544 × 1010
Variance1.1629901 × 1016
MonotonicityNot monotonic
2023-08-30T17:49:12.035463image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
293115000 1
 
0.7%
274972000 1
 
0.7%
458248134 1
 
0.7%
512144691 1
 
0.7%
367395035 1
 
0.7%
467077873 1
 
0.7%
443351938 1
 
0.7%
443050046 1
 
0.7%
224362254 1
 
0.7%
889203332 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
191487933 1
0.7%
224362254 1
0.7%
231832581 1
0.7%
244877264 1
0.7%
255905755 1
0.7%
266570357 1
0.7%
271959169 1
0.7%
274972000 1
0.7%
277157788 1
0.7%
278050113 1
0.7%
ValueCountFrequency (%)
889203332 1
0.7%
686470423 1
0.7%
651068477 1
0.7%
633613000 1
0.7%
631974084 1
0.7%
622745752 1
0.7%
612418070 1
0.7%
609962000 1
0.7%
607010263 1
0.7%
604290000 1
0.7%

Num_of_Business
Real number (ℝ)

Distinct140
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5905.6528
Minimum4082
Maximum8044
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:12.116990image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum4082
5-th percentile4439.65
Q15022.5
median6150
Q36494.25
95-th percentile7607.7
Maximum8044
Range3962
Interquartile range (IQR)1471.75

Descriptive statistics

Standard deviation946.49372
Coefficient of variation (CV)0.16026911
Kurtosis-0.66766835
Mean5905.6528
Median Absolute Deviation (MAD)546
Skewness-0.07698825
Sum850414
Variance895850.37
MonotonicityNot monotonic
2023-08-30T17:49:12.194200image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6428 2
 
1.4%
5035 2
 
1.4%
6262 2
 
1.4%
5815 2
 
1.4%
4460 1
 
0.7%
6118 1
 
0.7%
6185 1
 
0.7%
6350 1
 
0.7%
6494 1
 
0.7%
6363 1
 
0.7%
Other values (130) 130
90.3%
ValueCountFrequency (%)
4082 1
0.7%
4145 1
0.7%
4207 1
0.7%
4253 1
0.7%
4286 1
0.7%
4290 1
0.7%
4411 1
0.7%
4438 1
0.7%
4449 1
0.7%
4457 1
0.7%
ValueCountFrequency (%)
8044 1
0.7%
7871 1
0.7%
7807 1
0.7%
7788 1
0.7%
7780 1
0.7%
7684 1
0.7%
7639 1
0.7%
7611 1
0.7%
7589 1
0.7%
7563 1
0.7%

Business_above_100
Real number (ℝ)

Distinct53
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.8125
Minimum87
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:12.278095image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum87
5-th percentile94
Q1101
median112
Q3125
95-th percentile143.7
Maximum154
Range67
Interquartile range (IQR)24

Descriptive statistics

Standard deviation15.611977
Coefficient of variation (CV)0.13597803
Kurtosis-0.40358906
Mean114.8125
Median Absolute Deviation (MAD)11.5
Skewness0.55302568
Sum16533
Variance243.73383
MonotonicityNot monotonic
2023-08-30T17:49:12.352344image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98 10
 
6.9%
109 7
 
4.9%
112 6
 
4.2%
99 6
 
4.2%
115 6
 
4.2%
110 6
 
4.2%
119 6
 
4.2%
101 5
 
3.5%
137 5
 
3.5%
102 4
 
2.8%
Other values (43) 83
57.6%
ValueCountFrequency (%)
87 2
 
1.4%
90 1
 
0.7%
91 1
 
0.7%
93 3
 
2.1%
94 2
 
1.4%
95 1
 
0.7%
96 2
 
1.4%
98 10
6.9%
99 6
4.2%
100 4
 
2.8%
ValueCountFrequency (%)
154 1
0.7%
152 2
1.4%
151 1
0.7%
149 1
0.7%
145 2
1.4%
144 1
0.7%
142 2
1.4%
141 1
0.7%
140 1
0.7%
139 2
1.4%

complex_area
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0169078 × 108
Minimum1.0081930 × 108
Maximum1.0394533 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:12.419193image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.0081930 × 108
5-th percentile1.0081930 × 108
Q11.0081930 × 108
median1.0094951 × 108
Q31.0240939 × 108
95-th percentile1.0388653 × 108
Maximum1.0394533 × 108
Range3126028
Interquartile range (IQR)1590081

Descriptive statistics

Standard deviation1050593.3
Coefficient of variation (CV)0.010331254
Kurtosis-0.21769867
Mean1.0169078 × 108
Median Absolute Deviation (MAD)130208
Skewness0.98796312
Sum1.4643472 × 1010
Variance1.1037462 × 1012
MonotonicityNot monotonic
2023-08-30T17:49:12.478762image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
100819305 53
36.8%
100949513 23
16.0%
102409386 20
 
13.9%
103886530 12
 
8.3%
101568805 12
 
8.3%
102143493 7
 
4.9%
102408704 6
 
4.2%
103945333 3
 
2.1%
103914757 3
 
2.1%
102412047 3
 
2.1%
Other values (2) 2
 
1.4%
ValueCountFrequency (%)
100819305 53
36.8%
100949513 23
16.0%
101568805 12
 
8.3%
102141204 1
 
0.7%
102143493 7
 
4.9%
102144338 1
 
0.7%
102408704 6
 
4.2%
102409386 20
 
13.9%
102412047 3
 
2.1%
103886530 12
 
8.3%
ValueCountFrequency (%)
103945333 3
 
2.1%
103914757 3
 
2.1%
103886530 12
8.3%
102412047 3
 
2.1%
102409386 20
13.9%
102408704 6
 
4.2%
102144338 1
 
0.7%
102143493 7
 
4.9%
102141204 1
 
0.7%
101568805 12
8.3%

annual_household_income
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1031.5833
Minimum851
Maximum1227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:12.538322image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum851
5-th percentile851
Q1963
median1027
Q31089.75
95-th percentile1227
Maximum1227
Range376
Interquartile range (IQR)126.75

Descriptive statistics

Standard deviation104.79827
Coefficient of variation (CV)0.10158973
Kurtosis-0.61458548
Mean1031.5833
Median Absolute Deviation (MAD)69
Skewness0.18879114
Sum148548
Variance10982.678
MonotonicityNot monotonic
2023-08-30T17:49:12.594320image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
904 12
8.3%
1014 12
8.3%
1040 12
8.3%
1004 12
8.3%
851 12
8.3%
948 12
8.3%
968 12
8.3%
1046 12
8.3%
1080 12
8.3%
1119 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
851 12
8.3%
904 12
8.3%
948 12
8.3%
968 12
8.3%
1004 12
8.3%
1014 12
8.3%
1040 12
8.3%
1046 12
8.3%
1080 12
8.3%
1119 12
8.3%
ValueCountFrequency (%)
1227 12
8.3%
1178 12
8.3%
1119 12
8.3%
1080 12
8.3%
1046 12
8.3%
1040 12
8.3%
1014 12
8.3%
1004 12
8.3%
968 12
8.3%
948 12
8.3%

High_School_Graduate_num
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1951.5833
Minimum1465
Maximum2242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:12.656645image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1465
5-th percentile1465
Q11900.5
median1961.5
Q32090.5
95-th percentile2242
Maximum2242
Range777
Interquartile range (IQR)190

Descriptive statistics

Standard deviation214.20092
Coefficient of variation (CV)0.10975751
Kurtosis0.26832736
Mean1951.5833
Median Absolute Deviation (MAD)113.5
Skewness-0.96298897
Sum281028
Variance45882.035
MonotonicityNot monotonic
2023-08-30T17:49:12.714198image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1896 12
8.3%
1952 12
8.3%
2088 12
8.3%
2062 12
8.3%
2242 12
8.3%
2180 12
8.3%
2098 12
8.3%
1971 12
8.3%
1951 12
8.3%
1902 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
1465 12
8.3%
1612 12
8.3%
1896 12
8.3%
1902 12
8.3%
1951 12
8.3%
1952 12
8.3%
1971 12
8.3%
2062 12
8.3%
2088 12
8.3%
2098 12
8.3%
ValueCountFrequency (%)
2242 12
8.3%
2180 12
8.3%
2098 12
8.3%
2088 12
8.3%
2062 12
8.3%
1971 12
8.3%
1952 12
8.3%
1951 12
8.3%
1902 12
8.3%
1896 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83629988
Minimum0.7503639
Maximum0.93510324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:12.773598image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.7503639
5-th percentile0.7503639
Q10.79858355
median0.82432648
Q30.8750299
95-th percentile0.93510324
Maximum0.93510324
Range0.18473934
Interquartile range (IQR)0.076446347

Descriptive statistics

Standard deviation0.060331105
Coefficient of variation (CV)0.072140516
Kurtosis-1.1081554
Mean0.83629988
Median Absolute Deviation (MAD)0.04490486
Skewness0.31471882
Sum120.42718
Variance0.0036398422
MonotonicityNot monotonic
2023-08-30T17:49:12.830923image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.7707317073 12
8.3%
0.7639921722 12
8.3%
0.8115040808 12
8.3%
0.750363901 12
8.3%
0.8466767372 12
8.3%
0.8131294293 12
8.3%
0.8605414274 12
8.3%
0.8355235269 12
8.3%
0.8078674948 12
8.3%
0.9351032448 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
0.750363901 12
8.3%
0.7639921722 12
8.3%
0.7707317073 12
8.3%
0.8078674948 12
8.3%
0.8115040808 12
8.3%
0.8131294293 12
8.3%
0.8355235269 12
8.3%
0.8466767372 12
8.3%
0.8605414274 12
8.3%
0.9184952978 12
8.3%
ValueCountFrequency (%)
0.9351032448 12
8.3%
0.9216695254 12
8.3%
0.9184952978 12
8.3%
0.8605414274 12
8.3%
0.8466767372 12
8.3%
0.8355235269 12
8.3%
0.8131294293 12
8.3%
0.8115040808 12
8.3%
0.8078674948 12
8.3%
0.7707317073 12
8.3%

personal_expense
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54634069
Minimum36646331
Maximum80147126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:12.900912image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum36646331
5-th percentile36646331
Q144782287
median51198312
Q367622006
95-th percentile80147126
Maximum80147126
Range43500795
Interquartile range (IQR)22839718

Descriptive statistics

Standard deviation14243708
Coefficient of variation (CV)0.2607111
Kurtosis-1.1353316
Mean54634069
Median Absolute Deviation (MAD)12532664
Skewness0.4461512
Sum7.867306 × 109
Variance2.0288322 × 1014
MonotonicityIncreasing
2023-08-30T17:49:12.958757image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
36646331 12
8.3%
37897077 12
8.3%
39434218 12
8.3%
46564977 12
8.3%
47482665 12
8.3%
50496757 12
8.3%
51899866 12
8.3%
53420823 12
8.3%
66708176 12
8.3%
70363495 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
36646331 12
8.3%
37897077 12
8.3%
39434218 12
8.3%
46564977 12
8.3%
47482665 12
8.3%
50496757 12
8.3%
51899866 12
8.3%
53420823 12
8.3%
66708176 12
8.3%
70363495 12
8.3%
ValueCountFrequency (%)
80147126 12
8.3%
74547322 12
8.3%
70363495 12
8.3%
66708176 12
8.3%
53420823 12
8.3%
51899866 12
8.3%
50496757 12
8.3%
47482665 12
8.3%
46564977 12
8.3%
39434218 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.375
Minimum25.2
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:13.017051image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum25.2
5-th percentile25.2
Q130.075
median34.95
Q339.75
95-th percentile43
Maximum43
Range17.8
Interquartile range (IQR)9.675

Descriptive statistics

Standard deviation5.73559
Coefficient of variation (CV)0.16685353
Kurtosis-1.1899207
Mean34.375
Median Absolute Deviation (MAD)4.95
Skewness-0.22501964
Sum4950
Variance32.896993
MonotonicityNot monotonic
2023-08-30T17:49:13.074580image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
28.2 12
8.3%
25.7 12
8.3%
25.2 12
8.3%
30.7 12
8.3%
36.8 12
8.3%
35 12
8.3%
34.9 12
8.3%
32.8 12
8.3%
39.6 12
8.3%
40.2 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
25.2 12
8.3%
25.7 12
8.3%
28.2 12
8.3%
30.7 12
8.3%
32.8 12
8.3%
34.9 12
8.3%
35 12
8.3%
36.8 12
8.3%
39.6 12
8.3%
40.2 12
8.3%
ValueCountFrequency (%)
43 12
8.3%
40.4 12
8.3%
40.2 12
8.3%
39.6 12
8.3%
36.8 12
8.3%
35 12
8.3%
34.9 12
8.3%
32.8 12
8.3%
30.7 12
8.3%
28.2 12
8.3%

employment_ratio
Real number (ℝ)

Distinct142
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36426.375
Minimum32142
Maximum41027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:13.148591image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum32142
5-th percentile32940.9
Q134754
median36237.5
Q338350.75
95-th percentile39351
Maximum41027
Range8885
Interquartile range (IQR)3596.75

Descriptive statistics

Standard deviation2172.9103
Coefficient of variation (CV)0.059652115
Kurtosis-1.0450062
Mean36426.375
Median Absolute Deviation (MAD)1841.5
Skewness-0.019106399
Sum5245398
Variance4721539.1
MonotonicityNot monotonic
2023-08-30T17:49:13.222908image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35990 2
 
1.4%
39351 2
 
1.4%
32601 1
 
0.7%
36170 1
 
0.7%
35749 1
 
0.7%
36121 1
 
0.7%
35536 1
 
0.7%
35687 1
 
0.7%
36431 1
 
0.7%
35356 1
 
0.7%
Other values (132) 132
91.7%
ValueCountFrequency (%)
32142 1
0.7%
32385 1
0.7%
32601 1
0.7%
32692 1
0.7%
32706 1
0.7%
32773 1
0.7%
32854 1
0.7%
32934 1
0.7%
32980 1
0.7%
33017 1
0.7%
ValueCountFrequency (%)
41027 1
0.7%
40816 1
0.7%
40498 1
0.7%
40421 1
0.7%
40041 1
0.7%
39998 1
0.7%
39689 1
0.7%
39351 2
1.4%
39256 1
0.7%
39246 1
0.7%

employment_insurance_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24135246
Minimum0.21185916
Maximum0.27261733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:13.294993image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.21185916
5-th percentile0.21866055
Q10.23013169
median0.24048334
Q30.2529975
95-th percentile0.2611379
Maximum0.27261733
Range0.060758175
Interquartile range (IQR)0.022865813

Descriptive statistics

Standard deviation0.014056029
Coefficient of variation (CV)0.058238598
Kurtosis-0.89441393
Mean0.24135246
Median Absolute Deviation (MAD)0.011570223
Skewness0.02709473
Sum34.754755
Variance0.00019757195
MonotonicityNot monotonic
2023-08-30T17:49:13.368024image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2270849731 1
 
0.7%
0.2279824543 1
 
0.7%
0.2347444661 1
 
0.7%
0.2362106534 1
 
0.7%
0.2364852921 1
 
0.7%
0.2309168019 1
 
0.7%
0.2307112992 1
 
0.7%
0.2327220795 1
 
0.7%
0.2364763262 1
 
0.7%
0.2382855424 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.211859156 1
0.7%
0.2137990678 1
0.7%
0.2158355991 1
0.7%
0.2159158289 1
0.7%
0.2165850314 1
0.7%
0.2171310276 1
0.7%
0.217526086 1
0.7%
0.2185074548 1
0.7%
0.2195281091 1
0.7%
0.220166086 1
0.7%
ValueCountFrequency (%)
0.272617331 1
0.7%
0.2718275903 1
0.7%
0.2692561334 1
0.7%
0.2690342853 1
0.7%
0.2658006014 1
0.7%
0.2654164925 1
0.7%
0.2635549269 1
0.7%
0.2611907607 1
0.7%
0.2608383568 1
0.7%
0.2603433288 1
0.7%

Average_Temp
Real number (ℝ)

Distinct110
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.997222
Minimum-1.5
Maximum28.4
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.7%
Memory size6.3 KiB
2023-08-30T17:49:13.444250image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-1.5
5-th percentile2.5
Q16.95
median15.5
Q322.525
95-th percentile26.985
Maximum28.4
Range29.9
Interquartile range (IQR)15.575

Descriptive statistics

Standard deviation8.3879363
Coefficient of variation (CV)0.55929932
Kurtosis-1.3226245
Mean14.997222
Median Absolute Deviation (MAD)7.2
Skewness-0.11120415
Sum2159.6
Variance70.357475
MonotonicityNot monotonic
2023-08-30T17:49:13.516544image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 4
 
2.8%
17.2 3
 
2.1%
22.9 3
 
2.1%
19.9 2
 
1.4%
3.2 2
 
1.4%
22.4 2
 
1.4%
5.4 2
 
1.4%
14.9 2
 
1.4%
2.7 2
 
1.4%
2.2 2
 
1.4%
Other values (100) 120
83.3%
ValueCountFrequency (%)
-1.5 1
0.7%
0.7 1
0.7%
2.1 1
0.7%
2.2 2
1.4%
2.4 2
1.4%
2.5 2
1.4%
2.7 2
1.4%
3.1 1
0.7%
3.2 2
1.4%
3.4 1
0.7%
ValueCountFrequency (%)
28.4 1
0.7%
27.9 2
1.4%
27.8 1
0.7%
27.5 1
0.7%
27.3 1
0.7%
27.1 1
0.7%
27 1
0.7%
26.9 2
1.4%
26.8 1
0.7%
26.7 2
1.4%

Monthly_Rainfall
Real number (ℝ)

Distinct139
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.67986
Minimum0
Maximum560.1
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:13.594083image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.05
Q138.375
median87.6
Q3174.35
95-th percentile368.28
Maximum560.1
Range560.1
Interquartile range (IQR)135.975

Descriptive statistics

Standard deviation122.06501
Coefficient of variation (CV)0.94127962
Kurtosis1.8419245
Mean129.67986
Median Absolute Deviation (MAD)59.45
Skewness1.45133
Sum18673.9
Variance14899.867
MonotonicityNot monotonic
2023-08-30T17:49:13.664111image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 2
 
1.4%
80.1 2
 
1.4%
42.6 2
 
1.4%
27.1 2
 
1.4%
38 2
 
1.4%
21.7 1
 
0.7%
109.7 1
 
0.7%
0.2 1
 
0.7%
11.2 1
 
0.7%
26 1
 
0.7%
Other values (129) 129
89.6%
ValueCountFrequency (%)
0 1
0.7%
0.2 1
0.7%
1.6 1
0.7%
3.4 1
0.7%
5.4 1
0.7%
5.7 1
0.7%
6.6 1
0.7%
9.9 1
0.7%
10.9 1
0.7%
11 1
0.7%
ValueCountFrequency (%)
560.1 1
0.7%
550.8 1
0.7%
483.1 1
0.7%
481.9 1
0.7%
469.2 1
0.7%
416.6 1
0.7%
379.1 1
0.7%
370.5 1
0.7%
355.7 1
0.7%
354.3 1
0.7%

Average_Relative_Humadity
Real number (ℝ)

Distinct45
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.541667
Minimum42
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:13.739949image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile49
Q157
median66
Q376
95-th percentile86
Maximum91
Range49
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.675014
Coefficient of variation (CV)0.17545418
Kurtosis-0.86606729
Mean66.541667
Median Absolute Deviation (MAD)9
Skewness0.0866868
Sum9582
Variance136.30594
MonotonicityNot monotonic
2023-08-30T17:49:13.814645image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
61 9
 
6.2%
57 8
 
5.6%
65 7
 
4.9%
69 7
 
4.9%
66 7
 
4.9%
74 6
 
4.2%
51 5
 
3.5%
86 5
 
3.5%
60 5
 
3.5%
79 5
 
3.5%
Other values (35) 80
55.6%
ValueCountFrequency (%)
42 2
 
1.4%
44 1
 
0.7%
45 1
 
0.7%
47 1
 
0.7%
48 1
 
0.7%
49 3
2.1%
50 1
 
0.7%
51 5
3.5%
52 3
2.1%
53 3
2.1%
ValueCountFrequency (%)
91 1
 
0.7%
90 1
 
0.7%
89 1
 
0.7%
87 1
 
0.7%
86 5
3.5%
85 2
 
1.4%
84 1
 
0.7%
83 3
2.1%
82 1
 
0.7%
81 5
3.5%

Ground_Temp
Real number (ℝ)

Distinct118
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.728472
Minimum-0.4
Maximum32.1
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.7%
Memory size6.3 KiB
2023-08-30T17:49:13.889984image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile2.715
Q17.3
median17.75
Q325.075
95-th percentile30.155
Maximum32.1
Range32.5
Interquartile range (IQR)17.775

Descriptive statistics

Standard deviation9.5174015
Coefficient of variation (CV)0.56893429
Kurtosis-1.3421813
Mean16.728472
Median Absolute Deviation (MAD)8.3
Skewness-0.10807765
Sum2408.9
Variance90.580932
MonotonicityNot monotonic
2023-08-30T17:49:13.962639image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.1 3
 
2.1%
11.3 3
 
2.1%
4.6 3
 
2.1%
11.8 3
 
2.1%
18.9 2
 
1.4%
26.7 2
 
1.4%
9.5 2
 
1.4%
15.2 2
 
1.4%
29.9 2
 
1.4%
26.4 2
 
1.4%
Other values (108) 120
83.3%
ValueCountFrequency (%)
-0.4 1
0.7%
0.5 1
0.7%
1.2 1
0.7%
1.4 1
0.7%
2.3 1
0.7%
2.4 1
0.7%
2.6 1
0.7%
2.7 1
0.7%
2.8 1
0.7%
3 1
0.7%
ValueCountFrequency (%)
32.1 2
1.4%
31.8 1
0.7%
31.3 1
0.7%
31.1 1
0.7%
30.9 1
0.7%
30.7 1
0.7%
30.2 1
0.7%
29.9 2
1.4%
29.8 2
1.4%
29.7 1
0.7%

Average_Wind
Real number (ℝ)

Distinct31
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1291667
Minimum1
Maximum5.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:14.034199image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3
Q11.6
median2
Q32.3
95-th percentile3.785
Maximum5.9
Range4.9
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.78721204
Coefficient of variation (CV)0.36972777
Kurtosis6.6222402
Mean2.1291667
Median Absolute Deviation (MAD)0.3
Skewness2.3143783
Sum306.6
Variance0.6197028
MonotonicityNot monotonic
2023-08-30T17:49:14.103801image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2 20
13.9%
1.6 17
11.8%
1.8 14
9.7%
2.1 10
 
6.9%
2.3 9
 
6.2%
1.5 9
 
6.2%
2.2 9
 
6.2%
1.3 8
 
5.6%
1.7 8
 
5.6%
2.4 7
 
4.9%
Other values (21) 33
22.9%
ValueCountFrequency (%)
1 1
 
0.7%
1.1 1
 
0.7%
1.2 1
 
0.7%
1.3 8
 
5.6%
1.5 9
6.2%
1.6 17
11.8%
1.7 8
 
5.6%
1.8 14
9.7%
1.9 6
 
4.2%
2 20
13.9%
ValueCountFrequency (%)
5.9 1
0.7%
5.3 1
0.7%
4.9 1
0.7%
4.6 1
0.7%
4.5 1
0.7%
4.4 1
0.7%
4.2 1
0.7%
3.8 1
0.7%
3.7 1
0.7%
3.6 1
0.7%

Average_Pressure
Real number (ℝ)

Distinct101
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1006.091
Minimum996
Maximum1016.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:49:14.178364image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum996
5-th percentile997.3
Q11001.05
median1007
Q31011.7
95-th percentile1014.1
Maximum1016.9
Range20.9
Interquartile range (IQR)10.65

Descriptive statistics

Standard deviation5.9631258
Coefficient of variation (CV)0.0059270244
Kurtosis-1.393933
Mean1006.091
Median Absolute Deviation (MAD)5.15
Skewness-0.13698734
Sum144877.1
Variance35.558869
MonotonicityNot monotonic
2023-08-30T17:49:14.253246image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1011.7 4
 
2.8%
997.7 4
 
2.8%
1003.1 3
 
2.1%
1003.6 3
 
2.1%
1008.6 3
 
2.1%
1001.4 3
 
2.1%
1010.5 3
 
2.1%
1012.7 3
 
2.1%
1014.1 2
 
1.4%
1013.5 2
 
1.4%
Other values (91) 114
79.2%
ValueCountFrequency (%)
996 1
0.7%
996.5 1
0.7%
996.7 1
0.7%
996.8 1
0.7%
996.9 1
0.7%
997 1
0.7%
997.2 1
0.7%
997.3 2
1.4%
997.4 1
0.7%
997.5 1
0.7%
ValueCountFrequency (%)
1016.9 1
0.7%
1015.2 1
0.7%
1015.1 1
0.7%
1015 1
0.7%
1014.8 1
0.7%
1014.3 1
0.7%
1014.2 1
0.7%
1014.1 2
1.4%
1013.8 1
0.7%
1013.7 2
1.4%

Interactions

2023-08-30T17:49:07.981265image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:25.272991image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:26.959187image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:28.629857image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:30.660616image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:32.219165image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:33.895812image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:36.028653image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:37.795217image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:39.400858image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:41.409568image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:43.161175image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:44.806847image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:46.466343image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:48.154389image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:50.283974image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:51.965509image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:53.648514image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:55.378667image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:56.992994image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:58.691770image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:01.210649image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:02.951985image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:04.710411image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:06.417417image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:08.038221image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:25.386758image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:27.020308image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:28.692354image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:30.719597image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:32.280746image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:33.955505image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:36.103178image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:37.857613image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:39.462749image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:41.473977image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:43.222697image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:44.868839image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:46.528657image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:48.215293image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:50.349990image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:52.022685image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:53.707711image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:55.434984image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:57.053888image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:59.291380image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:01.292825image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:03.040026image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:04.770415image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:06.474957image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:08.097769image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:25.456789image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:27.078765image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:28.763860image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:30.785809image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:32.345115image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:34.020830image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:36.178582image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:37.924515image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:39.524144image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:41.542855image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:43.286075image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:44.934668image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:46.594357image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:48.283788image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:50.416973image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:52.087125image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:53.771764image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:55.501165image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:57.120310image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:59.388150image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:01.366598image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:03.112443image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:04.837407image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:06.549504image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:08.158976image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:25.523956image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:27.140856image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:28.835243image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:30.851057image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:32.418270image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:34.088840image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:36.249603image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:37.990852image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:39.591677image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:41.614551image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:43.355446image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:45.012491image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:46.662701image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:48.355677image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:50.486643image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:52.179101image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:53.840843image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:55.563799image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:57.189594image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:59.474286image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:01.444058image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:03.184393image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:04.905862image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:06.621660image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
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2023-08-30T17:49:09.243860image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:26.634212image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:28.290238image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:30.314200image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:31.926330image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:33.551809image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:35.710624image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:37.462717image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:39.115751image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:40.709908image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:42.825104image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:44.487343image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:46.139436image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:47.822652image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:49.942985image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:51.637028image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:53.343266image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:55.033330image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:56.694720image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:58.351598image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:00.868573image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:02.635440image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:04.365223image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:06.071126image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:07.682561image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:09.306628image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:26.703893image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:28.353896image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:30.388195image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:31.982622image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:33.618644image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:35.779561image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:37.527940image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:39.173083image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:40.773474image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:42.890395image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:44.549381image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:46.202013image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:47.888686image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:50.009002image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:51.698200image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:53.403513image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:55.105707image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:56.753676image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:58.415627image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:00.936315image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:02.697495image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:04.427662image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:06.134640image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:07.739174image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:09.373174image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:26.774612image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:28.425375image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:30.459694image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:32.042912image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:33.683282image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:35.842162image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:37.593220image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:39.231322image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:41.218405image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:42.958890image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:44.611509image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:46.270740image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:47.953188image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:50.076725image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:51.762427image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:53.460598image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:55.177092image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:56.814565image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:58.479747image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:01.013894image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:02.760900image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:04.507648image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:06.222326image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:07.801550image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:09.434172image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:26.839964image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:28.496952image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:30.527156image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:32.103355image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:33.755927image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:35.908815image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:37.661777image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:39.289982image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:41.280579image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:43.032334image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:44.685646image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:46.342207image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:48.026825image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:50.143132image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:51.827630image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:53.522230image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:55.246138image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:56.874092image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:58.542500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:01.083631image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:02.824088image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:04.577870image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:06.286239image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:07.861974image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:09.492300image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:26.900894image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:28.562621image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:30.596077image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:32.160790image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:33.830095image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:35.971336image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:37.727167image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:39.346672image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:41.344352image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:43.097811image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:44.746947image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:46.406350image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:48.091378image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:50.214940image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:51.902438image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:53.582875image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:55.312217image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:56.931998image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:48:58.624185image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:01.148673image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:02.888490image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:04.647407image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:06.352499image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:49:07.923981image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-08-30T17:49:14.333089image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
water_supply1.000-0.2700.040-0.052-0.134-0.2490.2660.0240.0180.0060.040-0.0350.217-0.086-0.0270.0290.0080.2770.3190.6260.3020.4000.615-0.367-0.551
Total_Population-0.2701.0000.478-0.4620.7510.9090.0200.4490.3080.441-0.710-0.1190.1030.3270.3410.4710.338-0.129-0.395-0.111-0.1110.046-0.111-0.2570.065
Households0.0400.4781.000-0.9980.8920.2360.7030.989-0.3120.926-0.738-0.6750.756-0.4270.7720.9940.8960.5060.3190.052-0.031-0.0580.020-0.529-0.027
Population_per_Households-0.052-0.462-0.9981.000-0.880-0.217-0.707-0.9910.318-0.9220.7420.676-0.7600.432-0.773-0.996-0.899-0.509-0.328-0.0650.0210.052-0.0330.5260.044
Male_Population-0.1340.7510.892-0.8801.0000.4890.5710.868-0.1740.824-0.803-0.5930.638-0.2730.6530.8890.7600.3240.094-0.110-0.127-0.131-0.130-0.4120.083
Female_Population-0.2490.9090.236-0.2170.4891.000-0.2420.1990.5610.236-0.5510.215-0.1790.6240.1640.2220.107-0.275-0.534-0.110-0.1330.136-0.097-0.1740.072
Male_Female_Ratio0.2660.0200.703-0.7070.571-0.2421.0000.669-0.4540.581-0.361-0.5760.933-0.6570.4360.7090.5550.8100.739-0.016-0.049-0.282-0.041-0.395-0.009
Population_aging_Ratio0.0240.4490.989-0.9910.8680.1990.6691.000-0.3510.913-0.735-0.6930.729-0.4580.7770.9880.9080.4750.3110.074-0.013-0.0430.040-0.500-0.046
Power_usage0.0180.308-0.3120.318-0.1740.561-0.454-0.3511.000-0.2230.0280.624-0.5160.774-0.294-0.323-0.330-0.316-0.423-0.018-0.0280.2070.0140.053-0.039
Num_of_Business0.0060.4410.926-0.9220.8240.2360.5810.913-0.2231.000-0.632-0.6030.611-0.3360.7590.9170.8840.3870.2100.012-0.085-0.051-0.015-0.4640.025
Business_above_1000.040-0.710-0.7380.742-0.803-0.551-0.361-0.7350.028-0.6321.0000.465-0.4860.110-0.483-0.745-0.539-0.2050.001-0.061-0.017-0.096-0.0510.3960.094
complex_area-0.035-0.119-0.6750.676-0.5930.215-0.576-0.6930.624-0.6030.4651.000-0.6780.787-0.460-0.672-0.651-0.302-0.292-0.050-0.0350.158-0.0040.260-0.024
annual_household_income0.2170.1030.756-0.7600.638-0.1790.9330.729-0.5160.611-0.486-0.6781.000-0.7130.4620.7620.5380.7960.7180.022-0.033-0.237-0.009-0.407-0.031
High_School_Graduate_num-0.0860.327-0.4270.432-0.2730.624-0.657-0.4580.774-0.3360.1100.787-0.7131.000-0.224-0.434-0.406-0.544-0.647-0.0060.0050.2710.0330.097-0.049
High_School_Graduate_ratio-0.0270.3410.772-0.7730.6530.1640.4360.777-0.2940.759-0.483-0.4600.462-0.2241.0000.7760.7480.1880.0580.025-0.021-0.0650.007-0.368-0.025
personal_expense0.0290.4710.994-0.9960.8890.2220.7090.988-0.3230.917-0.745-0.6720.762-0.4340.7761.0000.9020.4940.3130.034-0.033-0.0790.007-0.505-0.032
benefits_vs_personal_expense0.0080.3380.896-0.8990.7600.1070.5550.908-0.3300.884-0.539-0.6510.538-0.4060.7480.9021.0000.3150.1810.033-0.002-0.0640.007-0.415-0.013
employment_ratio0.277-0.1290.506-0.5090.324-0.2750.8100.475-0.3160.387-0.205-0.3020.796-0.5440.1880.4940.3151.0000.9510.0870.012-0.1440.054-0.394-0.074
employment_insurance_ratio0.319-0.3950.319-0.3280.094-0.5340.7390.311-0.4230.2100.001-0.2920.718-0.6470.0580.3130.1810.9511.0000.1190.053-0.1530.085-0.263-0.096
Average_Temp0.626-0.1110.052-0.065-0.110-0.110-0.0160.074-0.0180.012-0.061-0.0500.022-0.0060.0250.0340.0330.0870.1191.0000.7280.8050.990-0.503-0.900
Monthly_Rainfall0.302-0.111-0.0310.021-0.127-0.133-0.049-0.013-0.028-0.085-0.017-0.035-0.0330.005-0.021-0.033-0.0020.0120.0530.7281.0000.7120.725-0.213-0.724
Average_Relative_Humadity0.4000.046-0.0580.052-0.1310.136-0.282-0.0430.207-0.051-0.0960.158-0.2370.271-0.065-0.079-0.064-0.144-0.1530.8050.7121.0000.805-0.323-0.738
Ground_Temp0.615-0.1110.020-0.033-0.130-0.097-0.0410.0400.014-0.015-0.051-0.004-0.0090.0330.0070.0070.0070.0540.0850.9900.7250.8051.000-0.495-0.916
Average_Wind-0.367-0.257-0.5290.526-0.412-0.174-0.395-0.5000.053-0.4640.3960.260-0.4070.097-0.368-0.505-0.415-0.394-0.263-0.503-0.213-0.323-0.4951.0000.451
Average_Pressure-0.5510.065-0.0270.0440.0830.072-0.009-0.046-0.0390.0250.094-0.024-0.031-0.049-0.025-0.032-0.013-0.074-0.096-0.900-0.724-0.738-0.9160.4511.000

Missing values

2023-08-30T17:49:09.599921image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-30T17:49:09.804147image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2010-01-01229099.935484143563.051918.02.76518773673.069890.01.0541289.3293115000.04460.0151.0100949513.0904.01896.00.77073236646331.028.232601.00.2270852.121.751.01.24.51015.0
2010-02-01220593.464286143397.051935.02.76108673639.069758.01.0556359.3274972000.04082.0141.0100949513.0904.01896.00.77073236646331.028.232692.00.2279825.087.260.04.44.61012.4
2010-03-01245513.064516143593.052054.02.75853973686.069907.01.0540589.4294333000.04253.0152.0100949513.0904.01896.00.77073236646331.028.233017.00.2299357.6132.260.07.45.31011.7
2010-04-01237720.100000143723.052198.02.75342073776.069947.01.0547419.4285508000.04145.0137.0100949513.0904.01896.00.77073236646331.028.233304.00.23172411.2150.060.013.44.21010.1
2010-05-01248876.000000143982.052268.02.75468773917.070065.01.0549789.4355346000.04207.0131.0100949513.0904.01896.00.77073236646331.028.233469.00.23245317.1149.069.021.23.31003.8
2010-06-01264810.333333144178.052355.02.75385474027.070151.01.0552529.4326504000.04474.0145.0100949513.0904.01896.00.77073236646331.028.233789.00.23435621.677.674.026.52.81002.3
2010-07-01266525.709677144224.052388.02.75299774069.070155.01.0557919.4300857000.04626.0154.0100949513.0904.01896.00.77073236646331.028.233701.00.23367124.7469.286.026.83.21001.2
2010-08-01283673.096774144299.052498.02.74865774075.070224.01.0548399.4322879000.04286.0137.0100949513.0904.01896.00.77073236646331.028.233702.00.23355726.7303.586.028.42.91003.6
2010-09-01274463.666667144390.052547.02.74782674131.070259.01.0551109.4316427000.04438.0142.0100949513.0904.01896.00.77073236646331.028.233969.00.23525923.4270.474.024.13.71005.7
2010-10-01273693.516129145010.053114.02.73016574448.070562.01.0550729.4395582000.04807.0152.0100949513.0904.01896.00.77073236646331.028.234417.00.23734217.236.561.018.04.41010.3
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2021-03-01277094.354839150779.065775.02.29234578670.072109.01.09098713.5312611008.07563.0107.0100819305.01227.01465.00.91849580147126.043.038829.00.25752311.3136.761.012.11.91008.9
2021-04-01264596.300000150701.065858.02.28827278627.072074.01.09092013.5312093452.07788.0109.0100819305.01227.01465.00.91849580147126.043.039234.00.26034314.978.652.017.42.01008.0
2021-05-01284413.290323150660.065978.02.28348878631.072029.01.09165813.6410320597.07684.0108.0100819305.01227.01465.00.91849580147126.043.039351.00.26119118.480.165.020.81.6999.6
2021-06-01296351.666667150591.066069.02.27929978601.071990.01.09183213.6325511144.08044.0109.0100819305.01227.01465.00.91849580147126.043.039689.00.26355522.898.874.026.81.3998.3
2021-07-01297106.548387150699.066187.02.27686778693.072006.01.09286713.7332330730.07611.0109.0100819305.01227.01465.00.91849580147126.043.039998.00.26541626.7379.180.030.91.6998.8
2021-08-01292829.677419150643.066252.02.27378878647.071996.01.09238013.7364471507.07639.0110.0100819305.01227.01465.00.91849580147126.043.040041.00.26580126.3354.381.029.01.3998.7
2021-09-01294014.933333150121.066311.02.26389378399.071722.01.09309613.8362702160.07589.0112.0100819305.01227.01465.00.91849580147126.043.040421.00.26925622.6146.679.023.62.01003.3
2021-10-01280449.741935150154.066575.02.25541178423.071731.01.09329313.9389372409.07780.0115.0100819305.01227.01465.00.91849580147126.043.040816.00.27182817.857.868.019.01.11010.5
2021-11-01272121.666667150493.066970.02.24717078624.071869.01.09399013.9335853988.07871.0115.0100819305.01227.01465.00.91849580147126.043.041027.00.27261711.244.663.010.11.31009.4
2021-12-01261312.225806150531.067103.02.24328378626.071905.01.09347113.9396081047.07807.0118.0100819305.01227.01465.00.91849580147126.043.040498.00.2690345.21.656.04.01.71013.7